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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analytics Dashboard Configuration	25%	- Configure dashboards 1. Configure bindings 2. Apply query filters 3. Set up dynamic dashboards
Topic 2: Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Describe the use cases for Visualforce and Lightning components 2. Apply design best practices 3. Use Lenses and Dashboards
Topic 3: Data Layer	25%	- Implement and configure the right data transformations 1. Identify and resolve data sync issues 2. Use Data Prep actions - Identify the right data sources and data flows for CRM Analytics 1. Define datasets 2. Describe use cases for Data Prep (Dataflows and Recipes) 3. Describe how Salesforce objects map to CRM Analytics
Topic 4: Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Identify the use cases for Einstein Discovery 2. Explain the model building process 3. Interpret model results - Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards
Topic 5: Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q85-Q90):

NEW QUESTION # 85
A CRM Analytics consultant at Cloud Kicks wants to create a new dashboard that uses custom GeoJSON to display data; however, they are unable to upload the file via the user interface (UI).
Which action should the consultant take?

A. Add the system permission "Manage Analytics Custom Maps" to the permission set used.
B. Upload the GeoJSON via the API because it is NOT a function in the UI.
C. Enable Custom maps with GeoJSON"" in the analytics settings.

Answer: B

Explanation:
If a consultant at Cloud Kicks needs to use custom GeoJSON files for dashboard visualization and cannot upload the file via the CRM Analytics user interface (UI), the recommended action is to use the API for this purpose. Here's why this approach is suggested:
* Functionality Limitation in UI: Currently, the CRM Analytics UI does not support direct uploads of GeoJSON files, which necessitates an alternative method.
* API Flexibility: The API provides a more flexible route for uploading custom GeoJSON files, allowing consultants to integrate more complex or larger datasets that are not supported through standard UI functionalities.
* Customization and Control: Using the API also offers greater control over how GeoJSON data is handled, processed, and utilized within CRM Analytics, catering to more advanced customization needs.
This method ensures that the consultant can fully utilize CRM Analytics' capabilities for creating highly customized geographic visualizations, thereby enhancing the analytical value of the dashboards.

NEW QUESTION # 86
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A. Use the "update" transformation and utilize the "filter" node.
B. Use the combination of recipe transformations: "join" and "filter".
C. Use the recipe node "delete" and set "userID" as the deletion ID.

Answer: B

Explanation:
Reference:CRM Analytics Recipes: Join and Filter Transformations

NEW QUESTION # 87
A consultant wants to understand what the important predictors are in a model.
Where is this information found?

A. Einstein Recommendations
B. Model Settings
C. Model Deployment Wizard

Answer: B

Explanation:
The important predictors of a model in CRM Analytics can typically be found under theModel Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model.
Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.

NEW QUESTION # 88
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

A. Stop the recipe from running in Data Manager.
B. Cancel running installations from Setup
C. Update the app with the new field after installation.

Answer: A

Explanation:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.
Reference: TheData Managersection in CRM Analytics outlines how recipes and data flows are managed, including how to stop or pause recipes.

NEW QUESTION # 89
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
B. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
C. Dataflows/recipes with Augment nodes fail until sync has run for the first time.

Answer: B

NEW QUESTION # 90
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